Arabic Math SFT: Multimodal Arabic Mathematics Problems with Diagrams

A multimodal Arabic mathematics dataset curated for supervised fine-tuning of vision-language models. Each sample pairs a geometric or algebraic diagram with an Arabic-language problem statement and its corresponding solution. The dataset was created by Omartificial-Intelligence-Space and last updated on Hugging Face in April 2026.

Use Cases

• Fine-tuning models for Arabic mathematical problem-solving based on paired diagrams and text.
• Training AI assistants to explain geometric concepts in Arabic based on visual inputs.
• Developing educational tools for Arabic-speaking students based on multimodal question-answer pairs.
• Benchmarking the mathematical reasoning capabilities of Arabic language models using visual problems.

Strengths

• Dataset is specifically designed for supervised fine-tuning, indicating a clear intended use.
• Each sample contains a diagram paired with both a problem statement and a solution in Arabic.
• The multimodal nature combines visual (diagram) and textual (problem/solution) data.

Limitations

• Row count, file formats, and column-level documentation are unknown, which may limit suitability assessment.
• The dataset's license is unspecified, which could restrict usage.
• The description is incomplete, referencing a full description on an external page; actual data quality requires manual inspection.

Provenance

Source

Hugging Face dataset uploaded by Omartificial-Intelligence-Space.

Collection Method

Curated for supervised fine-tuning; specific collection method is not detailed.

Time Range

null

Freshness

Last updated 2026-04-09 10:48:02.

Geography

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